This adds experimental support in /register for sending key
statistical data on the last 1000 private messages that the user is a
participant in. Because it's experimental, we require developers to
request it explicitly in production (we don't use these data yet in
the webapp, and it likely carries some perf cost).
We expect this to be extremely helpful in initializing the mobile app
user experience for showing recent private message conversations.
See the code comments, but this has been heavily optimized to be very
efficient and do all the filtering work at the database layer so that
we minimize network transit with the database.
Fixes#11944.
This commit leverages the ahocorasick algorithm to build a set of user_ids
that have their alert_words present in the message. It runs in linear time
of the order of length of the input message as opposed to number of
alert_words. This is after building a ahocorasick Automaton which runs
in O(number of alert_words in entire realm) which is usually cached.
We'll use this in the push-notifications code, in a context where
there should definitely already be UserMessage rows if everything's
gone normally... but explicitly checking at the top seems like the
right pattern from a secure-coding perspective.
For the import-data codepath, we will call
the extracted function directly in a
subsequent commit.
The do_render_markdown() function has more
required parameters, which allows for more
explicit code and also allows us to flatten
out some logic related to alert words. (We
just pass in empty sets/dicts as needed).
After the messages have been imported, set the rendered_content of the
messages instead of leaving its value to be 'None'.
This is important to ensure that:
(1) Performance for users is good after completing the import.
(2) The database's full-text indexes have all of the imported messages
(which only happens properly when Message rows have their
rendered_content field edited).
Fixes#9168.
This doesn't seem to have a huge performance downside (less than 1s
extra time for loading / on chat.zulip.org), and it means the
possibility of users having so many unreads that we get weird/buggy
behavior is much more unlikely to exist.
We'll still want a better experience for users who somehow go over
this limit, but it can be pretty firmly "you need to go mark some
things as read".
This should have no effect for now, but it'll make things a bit
simpler in case we make future changes to support public streams
without history public to subscribers (and other organization
members).
Generally emails are not written with markdown in mind and hence
sometimes render in strange ways. This commit fixes a particular
issue that was causing whitespace before paragraphs to be treated
as code block due to which email content was being rendered in a
box that scrolls in right direction a lot.
Fixes: #7045.
This refactoring doesn't change behavior, but it sets us up
to more easily handle a register setting for `client_gravatar`,
which will allow clients to tell us they're going to compute
their own gravatar URLs.
The `client_gravatar` flag already exists in our code, but it
is only used for Django views (users/messages) but not for
Zulip events.
The main change is to move the call to `set_sender_avatar` into
`finalize_payload`, which adds the boolean `client_gravatar`
parameter to that function. And then we update various callers
to supply that flag.
One small performance benefit of this change is that we now
lazily compute the client message payloads in
`event_queue.process_message_event` now, so this will improve
performance if all interested clients have the same value of
`apply_markdown`. But the change here is really preparing us
for the additional boolean parameter, which will cause us to
have four variations of the payload.
This adds the data model and bugdown support for the new UserGroup
mention feature.
Before it'll be fully operational, we'll still need:
* A backend API for making these.
* A UI for interacting with that API.
* Typeahead on the frontend.
* CSS to make them look pretty and see who's in them.
We now have a MentionData class that encapsulates
the users who are possibly mentioned in a message.
Not that the rendering code may not keep all the mentions,
since things like backticks will suppress the mention.
We populate this now in do_send_messages, so that we can use
the info earlier in the message-sending process. This info
now gets passed down the call stack as an optional parameter.
Note that bugdown.convert() still populates the data when its
callers decline to pass in a MentionData object.
This is mostly a preparatory commit, as we don't take advantage
of the data yet in do_send_messages.
In do_send_messages, we only produce one dictionary for
the event queues, instead of different flavors for text
vs. html. This prevents two unnecessary queries to the
database.
It also means we only put one dictionary on the "message"
event queue instead of two, albeit a wider one that has
some values that won't be sent to the actual clients.
This wider dictionary from MessageDict.wide_dict is also
used for the `feedback_messages` queue and service bot
queues. Since the extra fields are possibly useful down
the road, and they'll just be ignored for now, we don't
bother to remove them. Also, those queue processors won't
have access to `content_type`, which they shouldn't need.
Fixes#6947
Before this change, we populated two cache entries for each
message that we sent. The entries were largely redundant,
with the only difference being whether we sent the content
as raw markdown or as the rendered HTML.
This commit makes it so we only have one cache entry per
message, and it includes both content and rendered_content.
One legacy source on confusion here is that `content`
changes meaning when you're on the front end. Here is the
situation going forward:
database:
content = raw
rendered_contented = rendered
cache entry:
content = raw
rendered_contented = rendered
payload for the frontend:
content = raw (for apply_markdown=False)
content = rendered (for apply_markdown=True)
Clients fetching messages can now specify that they are able
to compute their avatar, and if they set client_gratavar to
True in the request (w/our normal encoding scheme), then the
backend will not compute it, and the payload will be smaller.
The fix starts with get_messages_backend. The flag gets
passed down through these functions:
* MessageDict.post_process_dicts.
* MessageDict.set_sender_avatar.
We also fix up the callers for post_process_dicts to explicitly
pass in the client_gravatar path, but for now they all just hard
code the value to False.
Tim Abbott
Bennet Sunder
Greg Price
Anders Kaseorg
Vishnu Ks
Steve Howell
Joshua Pan
Rhea Parekh
Shubham Dhama
jkiely
Aditya Bansal
Nikhil Kumar Mishra
neiljp (Neil Pilgrim)
rht
Harshit Bansal
Umair Khan